Environmental Engineering – AI Data Trainer

About the role

We are seeking environmental engineers to help train and evaluate advanced AI models that address water and wastewater treatment, air quality, hazardous waste remediation, and compliance challenges. This fully remote, flexible contract lets you work 10–40 hours per week on your own schedule.

Key responsibilities

• Design complex, domain‑specific engineering problems covering contaminant transport, mass balance, hydrology, and life‑cycle assessments.
• Author detailed, step‑by‑step ground‑truth solutions, including chemical dosage calculations, hydraulic flow models, and pollutant dispersion simulations.
• Audit AI‑generated outputs for technical accuracy, regulatory compliance (EPA, ISO 14001), and safety.
• Identify logical errors in AI reasoning and provide structured feedback to improve model performance.

Required profile

• Currently pursuing or holding a Master’s or PhD in Environmental Engineering, Civil Engineering with an environmental focus, or a closely related discipline.
• Strong knowledge in at least one area such as aquatic chemistry, wastewater process design, air quality engineering, or hazardous waste remediation.
• Excellent written communication of complex engineering concepts.
• Detail‑oriented with a focus on unit conversions, chemical equations, and regulatory logic.
• No prior AI experience required; training will be provided.

Required skills

• Experience with environmental modeling software (e.g., SWMM, AERMOD, EPA models).
• Data annotation and data quality assurance.
• Evaluation workflow design.

What we offer

• Fully remote, asynchronous work environment.
• Freelance autonomy, variety, and global collaboration.
• Hands‑on exposure to large language model training and evaluation.
• Potential for ongoing contracts and extensions.